Process Digitalization
Niveau
Master
Learning outcomes of the courses/module
The graduate, the student:
* Knows the role of IT as a process enabler (benefits)
* Knows types of workflow systems
* Knows basic components of workflow automation in connection with workflow management and process monitoring
* Knows the importance of Robotic Process Automation (RPA)
* Knows the most important software providers for WFMS and RPA
* Can model processes consistently (e.g. BPMN -> BPEL)
* Can identify, systematize and solve topic-related questions with suitable software tools
* Can create workflows in selected software
* Knows the role of IT as a process enabler (benefits)
* Knows types of workflow systems
* Knows basic components of workflow automation in connection with workflow management and process monitoring
* Knows the importance of Robotic Process Automation (RPA)
* Knows the most important software providers for WFMS and RPA
* Can model processes consistently (e.g. BPMN -> BPEL)
* Can identify, systematize and solve topic-related questions with suitable software tools
* Can create workflows in selected software
Prerequisites for the course
not applicable
Course content
Basic Concepts:
* Business process, process management, workflow, BPMS, WFMS, RPA, low-code/no-code, process mining, hyperautomation
Classification and Differentiation
* WFMS, BPMS, RPA, AI platforms, low-code tools
* Interfaces and integration with ERP/CRM systems
Development and Trends
* From WFMS → BPMS → RPA → hyperautomation
* Digital transformation and the impact of AI
Architecture of digital process systems
* Process engine, orchestrator, bots, APIs, connectors
* Cloud architectures, security, governance
Process spectrum and degree of automation
* Repetitive – variable – knowledge-based
* Selection criteria and potential assessment
From business-oriented to digital process models
* BPMN 2.0, model transformation, executable models
* Connecting data, logic, and interfaces
* Business process, process management, workflow, BPMS, WFMS, RPA, low-code/no-code, process mining, hyperautomation
Classification and Differentiation
* WFMS, BPMS, RPA, AI platforms, low-code tools
* Interfaces and integration with ERP/CRM systems
Development and Trends
* From WFMS → BPMS → RPA → hyperautomation
* Digital transformation and the impact of AI
Architecture of digital process systems
* Process engine, orchestrator, bots, APIs, connectors
* Cloud architectures, security, governance
Process spectrum and degree of automation
* Repetitive – variable – knowledge-based
* Selection criteria and potential assessment
From business-oriented to digital process models
* BPMN 2.0, model transformation, executable models
* Connecting data, logic, and interfaces
Recommended specialist literature
* Weske, M.: Business Process Management, Springer, 2016
* Gadatsch, A.: Grundkurs Geschäftsprozessmanagement, Springer, 2013
* Allweyer, Th.: Geschäftsprozessmanagement, Springer, 2020
* Taulli, T.: The Robotic Process Automation Handbook, Springer, 2020
* van der Aalst, W.: Process Mining: Data Science in Action, Springer, 2016
* Langmann, C. & Turi, D.: Robotic Process Automation – Digitization and Automation of Processes, Springer, 2022
* Smeets, M. R.: Robotic Process Automation in Use, Springer, 2024
* Richter-von Hagen, C., Stucky, W.: Business-Process- und Workflow-Management, Teubner, 2005
* Fischermanns, G.: Praxishandbuch Prozessmanagement, Dr. Götz Schmidt, 2013
*Digitalization in Companies: From Theoretical Approaches to Practical Implementation, Springer, 2024
* Gadatsch, A.: Grundkurs Geschäftsprozessmanagement, Springer, 2013
* Allweyer, Th.: Geschäftsprozessmanagement, Springer, 2020
* Taulli, T.: The Robotic Process Automation Handbook, Springer, 2020
* van der Aalst, W.: Process Mining: Data Science in Action, Springer, 2016
* Langmann, C. & Turi, D.: Robotic Process Automation – Digitization and Automation of Processes, Springer, 2022
* Smeets, M. R.: Robotic Process Automation in Use, Springer, 2024
* Richter-von Hagen, C., Stucky, W.: Business-Process- und Workflow-Management, Teubner, 2005
* Fischermanns, G.: Praxishandbuch Prozessmanagement, Dr. Götz Schmidt, 2013
*Digitalization in Companies: From Theoretical Approaches to Practical Implementation, Springer, 2024
Assessment methods and criteria
Written exam
Language
German
Number of ECTS credits awarded
3
Semester hours per week
Planned teaching and learning method
Lecture, individual work with software, group work, presentation and discussion of tasks
Semester/trimester in which the course/module is offered
2